Diagnosis And Analysis Of Covid 19 Using Artificial Intelligence And Machine Learning Based Techniques

Download Diagnosis And Analysis Of Covid 19 Using Artificial Intelligence And Machine Learning Based Techniques full books in PDF, epub, and Kindle. Read online Diagnosis And Analysis Of Covid 19 Using Artificial Intelligence And Machine Learning Based Techniques ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques

Author : Mohammad Sufian Badar
Publisher : Elsevier
ISBN 13 : 0323953735
Total Pages : 428 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques by : Mohammad Sufian Badar

Download or read book Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques written by Mohammad Sufian Badar and published by Elsevier. This book was released on 2024-07-25 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Diagnosis and Analysis of COVID-19 using Artificial Intelligence and Machine Learning-Based Techniques offers new insights and demonstrates how machine learning (ML), artificial intelligence (AI), and (Internet of Things (IoT) can be used to diagnose and fight COVID-19 infection. Sections also discuss the challenges we face in using these technologies. Chapters cover pathogenesis, transmission, diagnosis, and treatment strategies for COVID-19, Artificial Intelligence and Machine Learning, and Blockchain /IoT Blockchain technology, examining how AI can be applied as a tool for detection and containment of the spread of COVID-19, and on the socioeconomic and educational post-pandemic impacts of the disease. This is a multidisciplinary resource for those engaged in researching COVID-19 and how emerging technologies are being used as tools for detection, transmission and treatment strategies. Describes the molecular basis of pathogenesis, epidemiology, transmission mechanism, diagnostic approaches, and the mutational landscape of SARS-CoV-2 Provides insights into post COVID-19 symptoms and consequences Demonstrates how machine learning, AI, and IoT is used to diagnose and fight COVID-19 infection Examines the use of Blockchain technology/IoT and interpretation and validation of data obtained from artificial intelligence

Artificial Intelligence and Machine Learning for COVID-19

Author : Fadi Al-Turjman
Publisher : Springer Nature
ISBN 13 : 3030601889
Total Pages : 266 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning for COVID-19 by : Fadi Al-Turjman

Download or read book Artificial Intelligence and Machine Learning for COVID-19 written by Fadi Al-Turjman and published by Springer Nature. This book was released on 2021-02-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is dedicated to addressing the major challenges in fighting COVID-19 using artificial intelligence (AI) and machine learning (ML) – from cost and complexity to availability and accuracy. The aim of this book is to focus on both the design and implementation of AI-based approaches in proposed COVID-19 solutions that are enabled and supported by sensor networks, cloud computing, and 5G and beyond. This book presents research that contributes to the application of ML techniques to the problem of computer communication-assisted diagnosis of COVID-19 and similar diseases. The authors present the latest theoretical developments, real-world applications, and future perspectives on this topic. This book brings together a broad multidisciplinary community, aiming to integrate ideas, theories, models, and techniques from across different disciplines on intelligent solutions/systems, and to inform how cognitive systems in Next Generation Networks (NGN) should be designed, developed, and evaluated while exchanging and processing critical health information. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via wireless/wired enabling technologies.

Intelligent Data Analysis for COVID-19 Pandemic

Author : M. Niranjanamurthy
Publisher : Springer Nature
ISBN 13 : 9811615748
Total Pages : 370 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Intelligent Data Analysis for COVID-19 Pandemic by : M. Niranjanamurthy

Download or read book Intelligent Data Analysis for COVID-19 Pandemic written by M. Niranjanamurthy and published by Springer Nature. This book was released on 2021-06-22 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.

Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases

Author : Victor Chang
Publisher : Springer Nature
ISBN 13 : 3031045971
Total Pages : 255 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases by : Victor Chang

Download or read book Artificial Intelligence and Machine Learning Methods in COVID-19 and Related Health Diseases written by Victor Chang and published by Springer Nature. This book was released on 2022-06-28 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

Cyber-Physical Systems

Author : Ramesh Poonia
Publisher : Academic Press
ISBN 13 : 0323853579
Total Pages : 278 pages
Book Rating : 4.3/5 (238 download)

DOWNLOAD NOW!

Book Synopsis Cyber-Physical Systems by : Ramesh Poonia

Download or read book Cyber-Physical Systems written by Ramesh Poonia and published by Academic Press. This book was released on 2021-10-30 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. Offers perspectives on the design, development and commissioning of intelligent applications Provides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19 Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques

Impact of AI and Data Science in Response to Coronavirus Pandemic

Author : Sushruta Mishra
Publisher : Springer Nature
ISBN 13 : 981162786X
Total Pages : 324 pages
Book Rating : 4.8/5 (116 download)

DOWNLOAD NOW!

Book Synopsis Impact of AI and Data Science in Response to Coronavirus Pandemic by : Sushruta Mishra

Download or read book Impact of AI and Data Science in Response to Coronavirus Pandemic written by Sushruta Mishra and published by Springer Nature. This book was released on 2021-07-22 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents advanced AI based technologies in dealing with COVID-19 outbreak and provides an in-depth analysis of variety of COVID-19 datasets throughout globe. It discusses recent artificial intelligence based algorithms and models for data analysis of COVID-19 symptoms and its possible remedies. It provides a unique opportunity to present the work on state-of-the-art of modern artificial intelligence tools and technologies to track and forecast COVID-19 cases. It indicates insights and viewpoints from scholars regarding risk and resilience analytics for policy making and operations of large-scale systems on this epidemic. A snapshot of the latest architectures, frameworks in machine learning and data science are also highlighted to gather and aggregate data records related to COVID-19 and to diagnose the virus. It delivers significant research outcomes and inspiring new real-world applications with respect to feasible AI based solutions in COVID-19 outbreak. In addition, it discusses strong preventive measures to control such pandemic.

Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis

Author : Khalid Raza
Publisher : Springer Nature
ISBN 13 : 9811585342
Total Pages : 436 pages
Book Rating : 4.8/5 (115 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis by : Khalid Raza

Download or read book Computational Intelligence Methods in COVID-19: Surveillance, Prevention, Prediction and Diagnosis written by Khalid Raza and published by Springer Nature. This book was released on 2020-10-16 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: The novel coronavirus disease 2019 (COVID-19) pandemic has posed a major threat to human life and health. This book is beneficial for interdisciplinary students, researchers, and professionals to understand COVID-19 and how computational intelligence can be used for the purpose of surveillance, control, prevention, prediction, diagnosis, and potential treatment of the disease. The book contains different aspects of COVID-19 that includes fundamental knowledge, epidemic forecast models, surveillance and tracking systems, IoT- and IoMT-based integrated systems for COVID-19, social network analysis systems for COVID-19, radiological images (CT, X-ray) based diagnosis system, and computational intelligence and in silico drug design and drug repurposing methods against COVID-19 patients. The contributing authors of this volume are experts in their fields and they are from various reputed universities and institutions across the world. This volume is a valuable and comprehensive resource for computer and data scientists, epidemiologists, radiologists, doctors, clinicians, pharmaceutical professionals, along with graduate and research students of interdisciplinary and multidisciplinary sciences.

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Author : Aboul-Ella Hassanien
Publisher : Springer Nature
ISBN 13 : 3030552586
Total Pages : 307 pages
Book Rating : 4.0/5 (35 download)

DOWNLOAD NOW!

Book Synopsis Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach by : Aboul-Ella Hassanien

Download or read book Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach written by Aboul-Ella Hassanien and published by Springer Nature. This book was released on 2020-10-12 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses the insights of artificial intelligence to stop spread of COVID-19, while the last part presents deep learning and big data analytics which help fight the COVID-19.

Data Science for COVID-19 Volume 1

Author : Utku Kose
Publisher : Academic Press
ISBN 13 : 0128245379
Total Pages : 754 pages
Book Rating : 4.1/5 (282 download)

DOWNLOAD NOW!

Book Synopsis Data Science for COVID-19 Volume 1 by : Utku Kose

Download or read book Data Science for COVID-19 Volume 1 written by Utku Kose and published by Academic Press. This book was released on 2021-05-20 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for COVID-19 presents leading-edge research on data science techniques for the detection, mitigation, treatment and elimination of COVID-19. Sections provide an introduction to data science for COVID-19 research, considering past and future pandemics, as well as related Coronavirus variations. Other chapters cover a wide range of Data Science applications concerning COVID-19 research, including Image Analysis and Data Processing, Geoprocessing and tracking, Predictive Systems, Design Cognition, mobile technology, and telemedicine solutions. The book then covers Artificial Intelligence-based solutions, innovative treatment methods, and public safety. Finally, readers will learn about applications of Big Data and new data models for mitigation. Provides a leading-edge survey of Data Science techniques and methods for research, mitigation and treatment of the COVID-19 virus Integrates various Data Science techniques to provide a resource for COVID-19 researchers and clinicians around the world, including both positive and negative research findings Provides insights into innovative data-oriented modeling and predictive techniques from COVID-19 researchers Includes real-world feedback and user experiences from physicians and medical staff from around the world on the effectiveness of applied Data Science solutions

Computational Modeling and Data Analysis in COVID-19 Research

Author : Chhabi Rani Panigrahi
Publisher : CRC Press
ISBN 13 : 1000384977
Total Pages : 271 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Computational Modeling and Data Analysis in COVID-19 Research by : Chhabi Rani Panigrahi

Download or read book Computational Modeling and Data Analysis in COVID-19 Research written by Chhabi Rani Panigrahi and published by CRC Press. This book was released on 2021-05-09 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak. Using advanced technologies such as artificial intelligence (AI) and machine learning (ML), techniques for data analysis, this book will be helpful to mitigate exposure and ensure public health. We know prevention is better than cure, so by using several ML techniques, researchers can try to predict the disease in its early stage and develop more effective medications and treatments. Computational technologies in areas like AI, ML, Internet of Things (IoT), and drone technologies underlie a range of applications that can be developed and utilized for this purpose. Because in most cases there is no one solution to stop the spreading of pandemic diseases, and the integration of several tools and tactics are needed. Many successful applications of AI, ML, IoT, and drone technologies already exist, including systems that analyze past data to predict and conclude some useful information for controlling the spread of COVID-19 infections using minimum resources. The AI and ML approach can be helpful to design different models to give a predictive solution for mitigating infection and preventing larger outbreaks. This book: Examines the use of artificial intelligence (AI), machine learning (ML), Internet of Things (IoT), and drone technologies as a helpful predictive solution for controlling infection of COVID-19 Covers recent research related to the COVID-19 pandemic and includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle a pandemic outbreak Examines the performance, implementation, architecture, and techniques of different analytical and statistical models related to COVID-19 Includes different case studies on COVID-19 Dr. Chhabi Rani Panigrahi is Assistant Professor in the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Bibudhendu Pati is Associate Professor and Head of the Department of Computer Science at Rama Devi Women’s University, Bhubaneswar, India. Dr. Mamata Rath is Assistant Professor in the School of Management (Information Technology) at Birla Global University, Bhubaneswar, India. Prof. Rajkumar Buyya is a Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia.

Artificial Intelligence in Covid-19

Author : Niklas Lidströmer
Publisher : Springer Nature
ISBN 13 : 303108506X
Total Pages : 346 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Covid-19 by : Niklas Lidströmer

Download or read book Artificial Intelligence in Covid-19 written by Niklas Lidströmer and published by Springer Nature. This book was released on 2022-11-09 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with the advantages of using artificial intelligence (AI) in the fight against the COVID-19 and against future pandemics that could threat humanity and our environment. This book is a practical, scientific and clinically relevant example of how medicine and mathematics will fuse in the 2020s, out of external pandemic pressure and out of scientific evolutionary necessity. This book contains a unique blend of the world's leading researchers, both in medicine, mathematics, computer science, clinical and preclinical medicine, and presents the research front of the usage of AI against pandemics. Equipped with this book the reader will learn about the latest AI advances against COVID-19, and how mathematics and algorithms can aid in preventing its spreading course, treatments, diagnostics, vaccines, clinical management and future evolution.

Computerized Systems for Diagnosis and Treatment of COVID-19

Author : Joao Alexandre Lobo Marques
Publisher : Springer Nature
ISBN 13 : 3031307887
Total Pages : 210 pages
Book Rating : 4.0/5 (313 download)

DOWNLOAD NOW!

Book Synopsis Computerized Systems for Diagnosis and Treatment of COVID-19 by : Joao Alexandre Lobo Marques

Download or read book Computerized Systems for Diagnosis and Treatment of COVID-19 written by Joao Alexandre Lobo Marques and published by Springer Nature. This book was released on 2023-06-26 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of signal and image processing technologies, artificial intelligence, and machine learning techniques to support Covid-19 diagnosis and treatment. The book focuses on two main applications: critical diagnosis requiring high precision and speed, and treatment of symptoms, including those affecting the cardiovascular and neurological systems. The areas discussed in this book range from signal processing, time series analysis, and image segmentation to detection and classification. Technical approaches include deep learning, transfer learning, transformers, AutoML, and other machine learning techniques that can be considered not only for Covid-19 issues but also for different medical applications, with slight adjustments to the problem under study. The Covid-19 pandemic has impacted the entire world and changed how societies and individuals interact. Due to the high infection and mortality rates, and the multiple consequences of the virus infection in the human body, the challenges were vast and enormous. These necessitated the integration of different disciplines to address the problems. As a global response, researchers across academia and industry made several developments to provide computational solutions to support epidemiologic, managerial, and health/medical decisions. To that end, this book provides state-of-the-art information on the most advanced solutions.

Computer Intelligence Against Pandemics

Author : Siddhartha Bhattacharyya
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110767686
Total Pages : 386 pages
Book Rating : 4.1/5 (17 download)

DOWNLOAD NOW!

Book Synopsis Computer Intelligence Against Pandemics by : Siddhartha Bhattacharyya

Download or read book Computer Intelligence Against Pandemics written by Siddhartha Bhattacharyya and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-08-07 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the most recent research and innovative developments regarding the new strains of COVID-19. While medical and natural sciences have been working instantly on deriving solutions and trying to protect humankind against such virus types, there is also a great focus on technological developments for improving the mechanism – momentum of science for effective and efficient solutions. At this point, computational intelligence is the most powerful tools for researchers to fight against COVID-19. Thanks to instant data-analyze and predictive techniques by computational intelligence, it is possible to get positive results and introduce revolutionary solutions against related medical diseases. By running capabilities – resources for rising the computational intelligence, technological fields like Artificial Intelligence (with Machine / Deep Learning), Data Mining, Applied Mathematics are essential components for processing data, recognizing patterns, modelling new techniques and improving the advantages of the computational intelligence more. Nowadays, there is a great interest in the application potentials of computational intelligence to be an effective approach for taking humankind more step away, after COVID-19 and before pandemics similar to the COVID-19 many appear.

Applications of Artificial Intelligence in COVID-19

Author : Sachi Nandan Mohanty
Publisher : Springer
ISBN 13 : 9789811573194
Total Pages : 0 pages
Book Rating : 4.5/5 (731 download)

DOWNLOAD NOW!

Book Synopsis Applications of Artificial Intelligence in COVID-19 by : Sachi Nandan Mohanty

Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by Springer. This book was released on 2022-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.

Applied Big Data Analytics and Its Role in COVID-19 Research

Author : Zhao, Peng
Publisher : IGI Global
ISBN 13 : 1799887952
Total Pages : 349 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Applied Big Data Analytics and Its Role in COVID-19 Research by : Zhao, Peng

Download or read book Applied Big Data Analytics and Its Role in COVID-19 Research written by Zhao, Peng and published by IGI Global. This book was released on 2022-04-29 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a multitude of studies focused on the COVID-19 pandemic across fields and disciplines as all sectors of life have had to adjust the way things are done and adapt to the constantly shifting environment. These studies are crucial as they provide support and perspectives on how things are changing and what needs to be done to stay afloat. Connecting COVID-19-related studies and big data analytics is crucial for the advancement of industrial applications and research areas. Applied Big Data Analytics and Its Role in COVID-19 Research introduces the most recent industrial applications and research topics on COVID-19 with big data analytics. Featuring coverage on a broad range of big data technologies such as data gathering, artificial intelligence, smart diagnostics, and mining mobility, this publication provides concrete examples and cases of usage of data-driven projects in COVID-19 research. This reference work is a vital resource for data scientists, technical managers, researchers, scholars, practitioners, academicians, instructors, and students.

Artificial Intelligence for COVID-19

Author : Diego Oliva
Publisher : Springer Nature
ISBN 13 : 3030697444
Total Pages : 594 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for COVID-19 by : Diego Oliva

Download or read book Artificial Intelligence for COVID-19 written by Diego Oliva and published by Springer Nature. This book was released on 2021-07-19 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.

Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19

Author : Victor Chang
Publisher : Academic Press
ISBN 13 : 0323903789
Total Pages : 294 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 by : Victor Chang

Download or read book Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 written by Victor Chang and published by Academic Press. This book was released on 2022-04-05 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel AI and Data Science Advancements for Sustainability in the Era of COVID-19 discusses how the role of recent technologies applied to health settings can help fight virus outbreaks. Moreover, it provides guidelines on how governments and institutions should prepare and quickly respond to drastic situations using technology to support their communities in order to maintain life and functional as efficiently as possible. The book discusses topics such as AI-driven histopathology analysis for COVID-19 diagnosis, bioinformatics for subtype rational drug design, deep learning-based treatment evaluation and outcome prediction, sensor informatics for monitoring infected patients, and machine learning for tracking and prediction models. In addition, the book presents AI solutions for hospital management during an epidemic or pandemic, along with real-world solutions and case studies of successful measures to support different types of communities. This is a valuable source for medical informaticians, bioinformaticians, clinicians and other healthcare workers and researchers who are interested in learning more on how recently developed technologies can help us fight and minimize the effects of global pandemics. Discusses AI advancements in predictive and decision modeling and how to design mobile apps to track contagion spread Presents the smart contract concept in blockchain and cryptography technology to guarantee security and privacy of people’s data once their information has been used to fight the pandemic Encompasses guidelines for emergency preparedness, planning, recovery and continuity management of communities to support people in emergencies like a virus outbreak